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Senior Data Delivery Expert (Global Commercial Business Technology Solutions)

AbbVie
Mettawa, IL, United States Posted Oct 29, 2026
Full-timeHybrid

About this role

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Senior Data Delivery Expert (Global Commercial Business Technology Solutions), AbbVie Inc., Mettawa, IL, Hybrid (3 fixed days a week/ 2 days WFH/remote).

Key Responsibilities

  • Design & develop data, software, & tech solutions to business questions.
  • Pressure-test requirements for accurate delivery.
  • Present & lead status to business stakeholders.
  • Prepare & present data distributions to non-tech audiences.
  • Compile & deliver accurate solution estimates.
  • Define scope by understanding business needs with technology capabilities.
  • Elicit requirements from ambiguous business needs.
  • Challenge where needed.
  • Execute the software development lifecycle for new builds/changes

Qualifications

  • Education & Experience

  • Must have a Master’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 1 year of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have 1 year of experience in: (i) analyzing & engineering data with Structured Query Language (SQL); (ii) gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) analyzing & transforming data with Python; & (iv) storing, processing, & analyzing data on cloud-based solutions.

  • Alternatively, would accept a Bachelor’s degree in computer science, applied & computational mathematics, data science, management information systems, analytics or related field & 5 years of work experience in a combination of data analyst &/or data engineering roles. Of experience required, must have: (i) 4 years analyzing & engineering data with Structured Query Language (SQL); (ii) 3 years gathering business requirements & preparing & presenting orally & in writing to supervisor, non-technology stakeholders, & peers in a matrixed organization; (iii) 1 year analyzing & transforming data with Python; & (iv) 1 year storing, processing, & analyzing data on cloud-based solutions.

  • Experience may be gained concurrently.

  • Additional Information

  • Salary Range: $139,818 - $162,000 per year

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to el

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